The American Heart Association (AHA) and the American College of Cardiology (ACC), in collaboration with multiple professional organizations, jointly released the "Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults" in August 2025. Based on the latest evidence-based medical findings from February 2015 to January 2025, the guideline proposes an individualized treatment strategy grounded in total cardiovascular disease risk stratification, incorporates the novel PREVENT risk assessment model, lowers the medication initiation threshold and control targets for high-risk populations, and provides specific management recommendations for special populations. This article provides an interpretation of these updates and conducts a comparative analysis with the current status of hypertension prevention and treatment in China as well as Chinese guidelines, aiming to offer reference for hypertension control practices in China.

The American Heart Association (AHA) officially released the "2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association" on January 27, 2025. This report systematically compiles the latest statistics on major cardiovascular diseases worldwide, while simultaneously integrating relevant outcome indicators, including quality of care, procedures, and economic costs, and updating the global prevalence patterns and evolving trends of diverse risk factors impacting cardiovascular health, providing essential guidance for the prevention, diagnosis, and treatment of cardiovascular diseases. Synthesizing insights from this pivotal report and other relevant studies, this article highlights key findings concerning the global prevalence and mortality of heart diseases, associated risk factors, and emerging diagnostic and therapeutic technologies.

ObjectiveProtein-protein interactions (PPIs) are fundamental to the execution of biological functions within living cells. However, traditional biochemical methods, such as co-immunoprecipitation (Co-IP), often fail to capture transient, weak, or membrane-associated interactions due to the stringent detergent requirements for cell lysis. Proximity labeling (PL) has emerged in recent years as a transformative technology for mapping the proteomes of specific subcellular compartments and identifying dynamic interactomes in situ. Golgi protein 73 (GP73, also known as GOLPH2), a resident type II Golgi transmembrane protein, is a well-recognized clinical biomarker for liver diseases, including hepatocellular carcinoma (HCC). Despite its clinical significance, the comprehensive physiological and pathological functions of GP73 remain partially understood. This study aims to establish an APEX2-mediated proximity labeling system specifically targeting GP73 to map its interactome in a living cellular environment, thereby providing new insights into its molecular roles and regulatory mechanisms. MethodsTo achieve spatial specificity, we first constructed a stable cell line expressing a fusion protein consisting of GP73 and the engineered soybean peroxidase APEX2. The localization of the GP73-APEX2 fusion protein was validated to ensure it correctly targeted the Golgi apparatus. The proximity labeling reaction was initiated by incubating the cells with biotin-phenol (BP) for 30 min, followed by a brief (1 min) treatment with1 mmol/L hydrogen peroxide (H₂O₂). This catalytic reaction converts BP into highly reactive, short-lived biotin-phenoxyl radicals that covalently attach to endogenous proteins within a small labeling radius of the GP73-APEX2 enzyme. Subsequently, the cells were quenched, and biotinylated proteins were enriched using high-affinity streptavidin-coated magnetic beads. The captured “neighbor” proteins were subjected to on-bead digestion and analyzed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) for high-throughput identification. Rigorous bioinformatics analysis, including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction network mapping, was performed to interpret the biological significance of the identified candidates. ResultsOur results demonstrate the successful establishment of a robust and sensitive APEX2-based proximity labeling system for GP73. We identified a total of 95 high-confidence interacting proteins that were significantly enriched in the GP73 proximity proteome compared to control groups. Bioinformatics analysis revealed that these interactors were predominantly associated with biological processes such as vesicular transport, protein localization, and, most notably, molecular functions related to “ribosome binding” and “translation regulation”. This suggested an unexpected role for the Golgi-resident GP73 in the cellular translation machinery. To validate these findings, we performed targeted biochemical assays which confirmed a direct interaction between GP73 and the subunits of the eukaryotic translation initiation factor 3 (eIF3) complex, specifically EIF3G and EIF3I. Furthermore, functional validation using the surface sensing of translation (SUnSET) assay—a non-radioactive method to monitor protein synthesis—revealed that the overexpression of GP73 significantly promoted global protein translation levels in the cell, whereas its depletion or inhibition resulted in reduced translation efficiency. ConclusionThis study successfully utilized APEX2-mediated proximity labeling to provide the first systematic map of GP73 interactome in living cells. Our findings uncover a novel, unconventional function of GP73 as a regulator of cellular protein translation, likely mediated through its interaction with the eIF3 complex. This discovery significantly broadens our understanding of the biological roles of GP73 beyond its traditional function in the Golgi apparatus and suggests that it may act as a bridge between Golgi-related trafficking and the protein synthesis machinery. Furthermore, the technical framework established in this study provides a valuable template for investigating other complex organelle-associated protein networks and resolving transient macromolecular interactions in various physiological and pathological contexts.

Objective To investigate the effect and mechanisms of celecoxib on right heart function in mice with acute high-altitude hypoxia exposure.Methods Male C57BL/6J mice(7 weeks old)were housed in a hypobaric chamber simulating an altitude of 5 800 m for 2 d to establish an animal model of acute hypobaric hypoxia.①Eighteen mice were randomly assigned to plain+saline(P+S),high-altitude hypoxia exposure+saline(H+S),and high-altitude hypoxia exposure+celecoxib(H+Cel).Body weight and routine blood indicators were measured,and cardiac ultrasound examination were performed for heart rate(HR),pulmonary artery acceleration time to ejection time ratio(AT/ET),tricuspid annular plane systolic excursion(TAPSE),tricuspid annular systolic velocity(S'),and left ventricular ejection fraction(LVEF)and fractional shortening(FS).Targeted metabolomic profiling was applied to detect the cardiac arachidonic acid(AA)metabolite levels.The contents of 12,13-dihydroxy-9Z-octadecenoic acid(12,13-diHOME)in the heart,liver,brown adipose tissue,and plasma were quantified by ELISA.② Eighteen mice were randomly assigned into plain+saline(P+S),high-altitude hypoxia exposure+saline(H+S)and high-altitude hypoxia exposure+12,13-diHOME(H+di)groups.Body weight,routine blood tests,and echocardiography were performed as above.③ Thirty-two mice were randomly divided into high-altitude hypoxia exposure+saline(H+S),high-altitude hypoxia exposure+celecoxib(H+Cel),high-altitude hypoxia exposure+soluble epoxide hydrolase inhibitor(sEHI)(H+sEHI),and high-altitude hypoxia exposure+sEHI+celecoxib(H+sEHI+Cel)groups.Body weight,routine blood tests,and echocardiography were performed as above.Cardiac and plasma contents of 12,13-diHOME and epoxyeicosatrienoic acids(EETs)were measured by ELISA.Results ① Compared to the P+S group,the H+S group exhibited significantly reduction of cardiac 12,13-diHOME level(P<0.001),increased counts of white blood cells(WBC)and neutrophils(P<0.01)and decreased TAPSE,S'and AT/ET both at resting state and under stress(P<0.01,P<0.001).Compared to the H+S group,the H+Cel group exhibited significantly increase of cardiac 12,13-diHOME level(P<0.05),reduced WBC and lymphocyte counts(P<0.01,P<0.05)and improved TAPSE and S'levels at resting state and under stress(P<0.01,P<0.001).② Compared to the H+S group,the H+di group demonstrated significantly improvement of TAPSE at basal and under stress(P<0.001)and a trend towards improved TAPSE at resting state(P=0.0532),but no obvious differences was observed in WBC and neutrophil counts between the H+di group and the H+S group.③ Compared to the H+Cel group,both the H+sEHI and H+sEHI+Cel groups exhibited significantly reduction of cardiac 12,13-diHOME level(P<0.01,P<0.05)though no statistical changes in cardiac function indicators.Compared to the H+S group,WBC counts and lymphocyte were decreased,and serum EETs level was incrased in the H+Cel group,H+sEHI group and H+sEHI+Cel group(P<0.01,P<0.001).Conclusion Celecoxib can elevate cardiac level of 12,13-diHOME and improves right heart function in mice after acute high-altitude hypoxia exposure through the CYP450-sEH metabolic pathway.

Objective: To investigate whether armillariella tabescens polysaccharides (ATPS) alleviates inflamma- tory responses and tissue damage in 5-fluorouracil ( 5-FU ) -induced chemotherapy-induced intestinal mucositis ( CIM) by inhibiting the TLR4 /MyD88 /NF-κB signaling pathway． Methods: Thirty 8-weeks-old male C57BL/6J mice were randomly divided into five groups ( n = 6 per group) : control group，model group ，and ATPS-treated groups (low，medium，high dose : 100，200，400 mg / kg) ．Body weight changes were recorded ; Disease activity in- dex (DAI) scores were evaluated ; small intestinal length and histopathology were measured ; HE staining and his- topathological scoring were performed ; immunohistochemistry was used to detect the expression of tight junction pro- teins (ZO-1，Occludin) in the small intestine ; serum levels of inflammatory cytokines interleukin-6 ( IL-6 ) and tumor necrosis factor-alpha (TNF-α) were analyzed by enzyme-linked immunosorbent assay (ELISA) kit ; Western blot was employed to quantify ZO-1，Occludin，and TLR4 /MyD88 /NF-κB pathway-related protein TLR4，MyD88，NF-κB p65，IκBα , p-NF-κB p65，p-IκBα protein expression． Results : Compared with the control group，mice in the model group exhibited significant reductions in body weight ，elevated DAI scores ，shortened small intestinal length，increased histopathological scores，marked downregulation of ZO-1 and Occludin expression，and elevated levels of inflammatory cytokines TNF-α and IL-6．Additionally，protein expression levels of TLR4，MyD88，p-NF- κB p65，and p-IκBα were significantly upregulated ( all P ＜0. 01 ) ． In contrast ，mice in ATPS-treated groups showed dose-dependent improvements，attenuated weight loss，reduced DAI scores，restored intestinal length，de- creased histopathological scores，upregulated ZO-1 and Occludin expression，reduced TNF-α and IL-6 levels，and downregulated TLR4，MyD88，p-NF-κB p65，and p-IκBα protein expression (all P＜0. 01) ． Conclusion ATPS alleviates 5-FU-induced CIM by inhibiting the TLR4 /MyD88 /NF-κB signaling pathway．

Background: In acute and chronic renal inflammatory diseases, the activation of inflammatory cells is involved in the defect of erythropoietin (EPO) production. Ras guanine nucleotide-releasing protein-4 (RasGRP4) promotes renal inflammatory injury in type 2 diabetes mellitus (T2DM). Our study aimed to investigate the role and mechanism of RasGRP4 in the production of renal EPO in diabetes. Methods: The degree of tissue injury was observed by pathological staining. Inflammatory cell infiltration was analyzed by immunohistochemical staining. Serum EPO levels were detected by enzyme-linked immunosorbent assay, and EPO production and renal interstitial fibrosis were analyzed by immunofluorescence. Quantitative real-time polymerase chain reaction and Western blotting were used to detect the expression of key inflammatory factors and the activation of signaling pathways. In vitro, the interaction between peripheral blood mononuclear cells (PBMCs) and C3H10T1/2 cells was investigated via cell coculture experiments. Results: RasGRP4 decreased the expression of hypoxia-inducible factor 2-alpha (HIF2A) via the ubiquitination–proteasome degradation pathway and promoted myofibroblastic transformation by activating critical inflammatory pathways, consequently reducing the production of EPO in T2DM mice. Conclusion RasGRP4 participates in the production of renal EPO in diabetic mice by affecting the secretion of proinflammatory cytokines in PBMCs, degrading HIF2A, and promoting the myofibroblastic transformation of C3H10T1/2 cells.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.